Diagnosis Ovarian Cancer & Prostate Cancer using Mamdani System of Fuzzy Interface
Mohammed Salahat, Harish K G Nair, Rasha Almajed, Naila Samar Naz, Aziz Ur Rehman, Muhammad Sheraz Javeid · 2022 International Conference on Cyber Resilience (ICCR) · 2022
In the field of medical science, identification of cancer is a very challenging task. The purpose of this paper is to diagnose ovarian cancer in females and prostate cancer in male and their condition by using the Mamdani Fuzzy inference system. The system has four components namely fuzzy knowledge base, the fuzzifier, inference engine and Defuzzifier. Proposed system can be used as a second reader which helps to identify the status of ovarian cancer in females and prostate cancer in male by entering his report's consequences and finding the outcomes which are Non-cancerous, acute cancer or chronic cancer. An intelligent system is proposed to specify ovarian cancer and Prostate cancer by using MFIS. The proposed system has seven input variables, CA-125 and AFP are used to identify ovarian cancer in women, PSA-Region, Region, and CEA used to identify Prostate Cancer in Men. The results were achieved using the Mamdani Fuzzy Inference System to model complex ovarian cancer and Prostate cancer process.